moby--moby/docs/sources/userguide/dockerlinks.md

page_title: Linking Containers Together
page_description: Learn how to connect Docker containers together.
page_keywords: Examples, Usage, user guide, links, linking, docker, documentation, examples, names, name, container naming, port, map, network port, network

# Linking Containers Together

In [the Using Docker section](/userguide/usingdocker), you saw how you can
connect to a service running inside a Docker container via a network
port. But a port connection is only one way you can interact with services and
applications running inside Docker containers. In this section, we'll briefly revisit
connecting via a network port and then we'll introduce you to another method of access:
container linking.

## Network port mapping refresher

In [the Using Docker section](/userguide/usingdocker), you created a
container that ran a Python Flask application:

    $ sudo docker run -d -P training/webapp python app.py

> **Note:** 
> Containers have an internal network and an IP address
> (as we saw when we used the `docker inspect` command to show the container's
> IP address in the [Using Docker](/userguide/usingdocker/) section).
> Docker can have a variety of network configurations. You can see more
> information on Docker networking [here](/articles/networking/).

When that container was created, the `-P` flag was used to automatically map any
network ports inside it to a random high port from the range 49000
to 49900 on our Docker host.  Next, when `docker ps` was run, you saw that
port 5000 in the container was bound to port 49155 on the host.

    $ sudo docker ps nostalgic_morse
    CONTAINER ID  IMAGE                   COMMAND       CREATED        STATUS        PORTS                    NAMES
    bc533791f3f5  training/webapp:latest  python app.py 5 seconds ago  Up 2 seconds  0.0.0.0:49155->5000/tcp  nostalgic_morse

You also saw how you can bind a container's ports to a specific port using
the `-p` flag:

    $ sudo docker run -d -p 5000:5000 training/webapp python app.py

And you saw why this isn't such a great idea because it constrains you to
only one container on that specific port.

There are also a few other ways you can configure the `-p` flag. By
default the `-p` flag will bind the specified port to all interfaces on
the host machine. But you can also specify a binding to a specific
interface, for example only to the `localhost`.

    $ sudo docker run -d -p 127.0.0.1:5000:5000 training/webapp python app.py

This would bind port 5000 inside the container to port 5000 on the
`localhost` or `127.0.0.1` interface on the host machine.

Or, to bind port 5000 of the container to a dynamic port but only on the
`localhost`, you could use:

    $ sudo docker run -d -p 127.0.0.1::5000 training/webapp python app.py

You can also bind UDP ports by adding a trailing `/udp`. For example:

    $ sudo docker run -d -p 127.0.0.1:5000:5000/udp training/webapp python app.py

You also learned about the useful `docker port` shortcut which showed us the
current port bindings. This is also useful for showing you specific port
configurations. For example, if you've bound the container port to the
`localhost` on the host machine, then the `docker port` output will reflect that.

    $ docker port nostalgic_morse 5000
    127.0.0.1:49155

> **Note:** 
> The `-p` flag can be used multiple times to configure multiple ports.

## Docker Container Linking

Network port mappings are not the only way Docker containers can connect
to one another. Docker also has a linking system that allows you to link
multiple containers together and send connection information from one to another.
When containers are linked, information about a source container can be sent to a
recipient container. This allows the recipient to see selected data describing
aspects of the source container.

## Container naming

To establish links, Docker relies on the names of your containers.
You've already seen that each container you create has an automatically
created name; indeed you've become familiar with our old friend
`nostalgic_morse` during this guide. You can also name containers
yourself. This naming provides two useful functions:

1. It can be useful to name containers that do specific functions in a way
   that makes it easier for you to remember them, for example naming a
   container containing a web application `web`.

2. It provides Docker with a reference point that allows it to refer to other
   containers, for example, you can specify to link the container `web` to container `db`.

You can name your container by using the `--name` flag, for example:

    $ sudo docker run -d -P --name web training/webapp python app.py

This launches a new container and uses the `--name` flag to
name the container `web`. You can see the container's name using the
`docker ps` command.

    $ sudo docker ps -l
    CONTAINER ID  IMAGE                  COMMAND        CREATED       STATUS       PORTS                    NAMES
    aed84ee21bde  training/webapp:latest python app.py  12 hours ago  Up 2 seconds 0.0.0.0:49154->5000/tcp  web

You can also use `docker inspect` to return the container's name.

    $ sudo docker inspect -f "{{ .Name }}" aed84ee21bde
    /web

> **Note:** 
> Container names have to be unique. That means you can only call
> one container `web`. If you want to re-use a container name you must delete
> the old container (with `docker rm`) before you can create a new
> container with the same name. As an alternative you can use the `--rm`
> flag with the `docker run` command. This will delete the container
> immediately after it is stopped.

## Container Linking

Links allow containers to discover each other and securely transfer information about one
container to another container. When you set up a link, you create a conduit between a
source container and a recipient container. The recipient can then access select data
about the source. To create a link, you use the `--link` flag. First, create a new
container, this time one containing a database.

    $ sudo docker run -d --name db training/postgres

This creates a new container called `db` from the `training/postgres`
image, which contains a PostgreSQL database.

Now, you need to delete the `web` container you created previously so you can replace it
with a linked one:

    $ docker rm -f web

Now, create a new `web` container and link it with your `db` container.

    $ sudo docker run -d -P --name web --link db:db training/webapp python app.py

This will link the new `web` container with the `db` container you created
earlier. The `--link` flag takes the form:

    --link name:alias

Where `name` is the name of the container we're linking to and `alias` is an
alias for the link name. You'll see how that alias gets used shortly.

Next, look at your linked containers using `docker ps`.

    $ docker ps
    CONTAINER ID  IMAGE                     COMMAND               CREATED             STATUS             PORTS                    NAMES
    349169744e49  training/postgres:latest  su postgres -c '/usr  About a minute ago  Up About a minute  5432/tcp                 db, web/db
    aed84ee21bde  training/webapp:latest    python app.py         16 hours ago        Up 2 minutes       0.0.0.0:49154->5000/tcp  web

You can see your named containers, `db` and `web`, and you can see that the `db`
container also shows `web/db` in the `NAMES` column. This tells you that the
`web` container is linked to the `db` container, which allows it to access information
about the `db` container.

So what does linking the containers actually do? You've learned that a link creates a
source container that can provide information about itself to a recipient container. In
our example, the recipient, `web`, can access information about the source `db`. To do
this, Docker creates a secure tunnel between the containers that doesn't need to
expose any ports externally on the container; you'll note when we started the
`db` container we did not use either the `-P` or `-p` flags. That's a big benefit of
linking: we don't need to expose the source container, here the PostgreSQL database, to
the network.

Docker exposes connectivity information for the source container to the
recipient container in two ways:

* Environment variables,
* Updating the `/etc/hosts` file.

Docker can set a number of environment variables. You run the `env`
command to list the specified container's environment variables.

```
    $ sudo docker run --rm --name web2 --link db:db training/webapp env
    . . .
    DB_NAME=/web2/db
    DB_PORT=tcp://172.17.0.5:5432
    DB_PORT_5000_TCP=tcp://172.17.0.5:5432
    DB_PORT_5000_TCP_PROTO=tcp
    DB_PORT_5000_TCP_PORT=5432
    DB_PORT_5000_TCP_ADDR=172.17.0.5
    . . .
```

> **Note**:
> These Environment variables are only set for the first process in the
> container. Similarly, some daemons (such as `sshd`)
> will scrub them when spawning shells for connection.

You can see that Docker has created a series of environment variables with
useful information about the source `db` container. Each variable is prefixed with
`DB_`, which is populated from the `alias` you specified above. If the `alias`
were `db1`, the variables would be prefixed with `DB1_`. You can use these
environment variables to configure your applications to connect to the database
on the `db` container. The connection will be secure and private; only the
linked `web` container will be able to talk to the `db` container.

In addition to the environment variables, Docker adds a host entry for the
source container to the `/etc/hosts` file. Here's an entry for the `web`
container:

    $ sudo docker run -t -i --rm --link db:db training/webapp /bin/bash
    root@aed84ee21bde:/opt/webapp# cat /etc/hosts
    172.17.0.7  aed84ee21bde
    . . .
    172.17.0.5  db

You can see two relevant host entries. The first is an entry for the `web`
container that uses the Container ID as a host name. The second entry uses the
link alias to reference the IP address of the `db` container. You can ping
that host now via this host name.

    root@aed84ee21bde:/opt/webapp# apt-get install -yqq inetutils-ping
    root@aed84ee21bde:/opt/webapp# ping db
    PING db (172.17.0.5): 48 data bytes
    56 bytes from 172.17.0.5: icmp_seq=0 ttl=64 time=0.267 ms
    56 bytes from 172.17.0.5: icmp_seq=1 ttl=64 time=0.250 ms
    56 bytes from 172.17.0.5: icmp_seq=2 ttl=64 time=0.256 ms

> **Note:** 
> In the example, you'll note you had to install `ping` because it was not included
> in the container initially.

Here, you used the `ping` command to ping the `db` container using its host entry,
which resolves to `172.17.0.5`. You can use this host entry to configure an application
to make use of your `db` container.

> **Note:** 
> You can link multiple recipient containers to a single source. For
> example, you could have multiple (differently named) web containers attached to your
>`db` container.

# Next step

Now that you know how to link Docker containers together, the next step is
learning how to manage data, volumes and mounts inside your containers.

Go to [Managing Data in Containers](/userguide/dockervolumes).